KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb

Gutscheinbedingungen

**Gültig vom 05.10.2026 bis 07.10.2026 | Gültig für nicht preisgebundene fremdsprachige Bücher | Einzelne Artikel können ausgeschlossen sein | Online auf www.bücher.de einlösbar | Click & Collect nur mit Online-Zahlung (Paypal/Kreditkarte) vorab | Nicht kombinierbar mit anderen Gutscheinen oder Preisaktionen | Nur einmal pro Einkauf einlösbar | Gutschein wird auf max. 500€ Bestellwert angerechnet | Keine Barauszahlung | Nicht gültig für Versandkosten und Services
  • Produktbild: Applied Mathematics with Open-Source Software
  • Produktbild: Applied Mathematics with Open-Source Software

Applied Mathematics with Open-Source Software Operational Research Problems with Python and R

Aus der Reihe Chapman & Hall/CRC Series in Operations Research

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2022

Abbildungen

18 SW-Abb., 18 SW-Zeichn.

Verlag

Taylor & Francis

Seitenzahl

154

Maße (L/B/H)

25,4/17,8/0,9 cm

Gewicht

304 g

Sprache

Englisch

ISBN

978-0-367-33998-2

Beschreibung

Rezension

"This is an outstanding introduction to Operational Research, providing a hands-on, practical discussion of a number of key topics, with examples, exercises and an excellent use of open-source software that allows the learner to explore the topics and ideas for themselves. Also, each chapter ends with a discussion of the wider context, including details of more advanced work and different applications, together with appropriate references to published work in the literature. In the past I have taught similar course to Maths, Computer Science and Business students, using software where available. However, this book allows the student to go much further, taking control of their own learning and adapting the code to explore the different topics more fully. As such, I would strongly encourage anyone teaching or learning Operational Research to buy and use this excellent resource."
- Sally McClean FRSS, Ulster University, United Kingdom

"What an exciting contribution to Open Science and mathematics from Knight and Palmer. Essential reading for all Operational Researchers who wish to use Free and Open-Source Software and share their models with others."
- Thomas Monks, University of Exeter, United Kingdom

"This book is targeted towards a wide range of readers including students with interest in applied mathematics, operational research and related disciplines, programmers, or just hobbyist who like to solve maths problems. This book covers problems on various topics including Markov Chains, Discrete Event simulation, Differential Equations, Game Theory, Systems Dynamics, Agent-based simulation, Linear Programming, and Heuristics. There is something for everybody's taste! The programming codes are available in both Python and open-source software package R and the codes are easy to follow and understand."
- Sanja Petrovic, Nottingham University Business School, United Kingdom

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2022

Abbildungen

18 SW-Abb., 18 SW-Zeichn.

Verlag

Taylor & Francis

Seitenzahl

154

Maße (L/B/H)

25,4/17,8/0,9 cm

Gewicht

304 g

Sprache

Englisch

ISBN

978-0-367-33998-2

EU-Ansprechpartner

Taylor & Francis Verlag GmbH
Kaufingerstraße 24
80331 München
DE
GPSR@taylorandfrancis.com

Herstelleradresse

Taylor & Francis Group
5 Howick Place
SW1P 1WG London
UK
GPSR@taylorandfrancis.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
Die Leseprobe wird geladen.
  • Produktbild: Applied Mathematics with Open-Source Software
  • Produktbild: Applied Mathematics with Open-Source Software

  • Section I. Getting Started. 1. Introduction. 1.1. Who is This Book For? 1.2. What do We Mean by Applied Mathematics? 1.3. What is Open-Source Software. 1.4. How to Get the Most Out of this Book. 1.5. How Code is Written in this Book. Section II. Probabilistic Modelling. 2. Markov Chains. 2.1. Problem. 2.2. Theory. 2.3. Solving with Python. 2.4. Solving with R. 2.5. Wider Context. 3.Discrete Event Simulation. 3.1. Problem. 3.2. Theory. 3.3. Solving with Python. 3.4. Solving with R. 3.5. Wider Context. Section III. Dynamical Systems. 4. Differential Equations. 4.1. Problem. 4.2. Theory. 4.3. Solving with Python. 4.4. Solving with R. 4.5. Wider Context. Chapter 5. Systems Dynamics. 5.1. Problem. 5.2. Theory. 5.3. Solving with Python. 5.4. Solving with R. 5.5. Wider Context. Section IV. Emergent Behaviour. 6. Game Theory. 6.1. Problem. 6.2. Theory. 6.3. Solving with Python. 6.4. Solving with R. 6.5. Wider Context. 7. Agent Based Simulation. 7.1. Problem. 7.2. Theory. 7.3. Solving with Python. 7.4. Solving with R. 7.5. Wider Context. Section V. Optimisation. 8. Linear Programming. 8.1. Problem. 8.2. Theory. 8.3. Solving with Python. 8.4. Solving with R. 8.5. Wider Context. 9. Heuristics. 9.1. Problem. 9.2. Theory. 9.3. Solving with Python. 9.4. Solving with R. 9.5. Wider Context.